This is a deliverable for the course Developing Data Products as part of the Coursera Data Science Specialization.

Instructions:

Write a shiny application with associated supporting documentation. The documentation should be thought of as whatever a user will need to get started using your application. Deploy the application on Rstudio's shiny server Share the application link by pasting it into the provided text box Share your server.R and ui.R code on github

Using the data of stock information containing 5 industry giants, we plot the tendency of the stocks and correlation between each stock.

The application is running on (https://chenxumark.shinyapps.io/Stock/)

ui.R, and Server.R Code in my github repository (https://github.com/chenxumark/Developing-Data-Products)

The data used in the app comes from the Rawgit websit.

stockdata <- read.csv("https://cdn.rawgit.com/plotly/datasets/master/stockdata.csv")
summary(stockdata)

##       MSFT            IBM              SBUX             AAPL       
##  Min.   :12.63   Min.   : 61.27   Min.   : 3.285   Min.   : 10.35  
##  1st Qu.:22.58   1st Qu.:102.41   1st Qu.:10.793   1st Qu.: 22.93  
##  Median :24.99   Median :143.83   Median :17.897   Median : 49.33  
##  Mean   :28.74   Mean   :136.24   Mean   :23.213   Mean   : 54.72  
##  3rd Qu.:33.87   3rd Qu.:172.57   3rd Qu.:35.306   3rd Qu.: 78.10  
##  Max.   :56.15   Max.   :198.95   Max.   :63.099   Max.   :130.67  
##                                                                    
##       GSPC                Date     
##  Min.   : 676.5   2007-01-03:   1  
##  1st Qu.:1198.4   2007-01-04:   1  
##  Median :1402.4   2007-01-05:   1  
##  Mean   :1460.0   2007-01-08:   1  
##  3rd Qu.:1770.6   2007-01-09:   1  
##  Max.   :2130.8   2007-01-10:   1  
##                   (Other)   :2300